Plant Disease Classification

This Flutter app leverages the power of Teachable Machine to accurately classify various diseases based on image input. It provides a user-friendly interface for capturing images and receiving real-time predictions.

Features

• Image Capture: Easily capture images using the device's camera.
• Real-Time Prediction: Get instant disease classifications.
• Accurate Results: Benefit from the precision of Teachable Machine's machine learning model.
• Intuitive Interface: Enjoy a simple and user-friendly design.

Getting Started

• Clone the Repository:

  https://github.com/WinsWebsA/image-classification-mango-disease-detection-flutter.git

• Set Up Flutter Environment: Ensure you have Flutter installed and configured. Refer to the official Flutter documentation for setup instructions.

• Run the App:

  flutter run

How it Works

• Teachable Machine Model:

  • Train a machine learning model using Teachable Machine to recognize different disease patterns.
  • Export the model as a TensorFlow Lite model.

• Flutter Integration:

  • Integrate the TensorFlow Lite model into the Flutter app.
  • Use the tflite plugin to load and run the model.
  • Process captured images and feed them to the model for prediction.

• User Interface:

  • Design a user-friendly interface with a camera view and prediction display.
  • Provide clear instructions and feedback to the user.